A Gold Standard for Emotion Annotation in Stack Overflow

Nicole Novielli, Fabio Calefato, F. Lanubile
{"title":"A Gold Standard for Emotion Annotation in Stack Overflow","authors":"Nicole Novielli, Fabio Calefato, F. Lanubile","doi":"10.1145/3196398.3196453","DOIUrl":null,"url":null,"abstract":"Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels. A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces. We release a dataset of 4,800 questions, answers, and comments from Stack Overflow, manually annotated for emotions. Our dataset contributes to the building of a shared corpus of annotated resources to support research on emotion awareness in software development.","PeriodicalId":6639,"journal":{"name":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","volume":"79 1","pages":"14-17"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3196398.3196453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 53

Abstract

Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels. A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces. We release a dataset of 4,800 questions, answers, and comments from Stack Overflow, manually annotated for emotions. Our dataset contributes to the building of a shared corpus of annotated resources to support research on emotion awareness in software development.
堆栈溢出中情感标注的黄金标准
软件开发人员通过丰富的沟通渠道生态系统体验和分享各种各样的情感。最近在经验软件工程研究中出现的一个趋势是利用开发人员沟通痕迹的情感分析。我们发布了一个包含4800个问题、答案和评论的数据集,这些问题、答案和评论来自Stack Overflow,并对情绪进行了手动注释。我们的数据集有助于建立一个带注释的资源共享语料库,以支持软件开发中的情感意识研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信